不同产地栀子药材中8种主要药效成分的含量测定及聚类分析

王永香; 米慧娟; 李淼; 吴云; 王振中; 萧伟

doi:10.13422/j.cnki.syfjx.2015200044

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不同产地栀子药材中8种主要药效成分的含量测定及聚类分析

药剂与炮制 | 更新时间：2024-01-04

- 不同产地栀子药材中8种主要药效成分的含量测定及聚类分析
- Determination and Cluster Analysis of Eight Effective Components in Gardeniae Fructus from Different Localities
- 中国实验方剂学杂志 2015年21卷第20期页码：44-48
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家"重大新药创制"科技重大专项(2013ZX09402203)
- DOI：10.13422/j.cnki.syfjx.2015200044
  中图分类号： R284.1
- 纸质出版日期：2015
- 稿件说明：
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王永香, 米慧娟, 李淼, 等. 不同产地栀子药材中8种主要药效成分的含量测定及聚类分析[J]. 中国实验方剂学杂志, 2015,21(20):44-48.

WANG Yong-xiang, MI Hui-juan, LI Miao, et al. Determination and Cluster Analysis of Eight Effective Components in Gardeniae Fructus from Different Localities[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(20): 44-48.
王永香, 米慧娟, 李淼, 等. 不同产地栀子药材中8种主要药效成分的含量测定及聚类分析[J]. 中国实验方剂学杂志, 2015,21(20):44-48. DOI： 10.13422/j.cnki.syfjx.2015200044.

WANG Yong-xiang, MI Hui-juan, LI Miao, et al. Determination and Cluster Analysis of Eight Effective Components in Gardeniae Fructus from Different Localities[J]. Chinese journal of experimental traditional medical formulae, 2015, 21(20): 44-48. DOI： 10.13422/j.cnki.syfjx.2015200044.

摘要

目的:比较不同产地栀子药材中京尼平苷酸、去乙酰车叶草酸甲酯、京尼平龙胆双糖苷、栀子苷、新绿原酸、绿原酸、隐绿原酸及西红花苷Ⅰ共8种药效成分的含量

为栀子药材最佳产地的确定提供理论依据。方法:采用HPLC测定各指标成分含量

流动相乙腈(A)-0.1%磷酸溶液(B)梯度洗脱(0~10 min

5%~10%A;10~20 min

10%~18%A;20~30 min

18%~45%A

40~50 min

45%~5%A)

检测波长分别238

324

440 nm。并以各成分作为指标进行聚类分析

采用SPSS 20.0中主成分分析法提取4个主因子。结果:累计方差贡献率95.98%

聚类分析结果显示江西泰和县和江西樟树县GAP基地的栀子药材质量较好。结论:不同产区栀子药材中主要药效成分的含量有较大差异

各成分含量与产地呈一定的相关性。

Abstract

Objective: To compare contents of eight medicinal components (geniposidic acid

deacetyl asperulosidic acid methyl ester

genipin 1-gentiobioside

gardenoside

crocin I

neochlorogenic acid

chlorogenic acid

cryptochlorogenin acid) in Gardeniae Fructus from different localities

and provide a reference for selecting its optimal locality. Method: HPLC was performed on a Kromasil C18 column with mobile phases of acetonitrile-0.1% phosphoric acid solution in a gradient mode at a flow rate of 1.0 mL·min-1 and detection wavelength was 238

324

440 nm.Taking each component as indeses for cluster analysis

four main factors were extracted by principal component analysis in SPSS 20.0. Result: Four principal component which accounted for over 95% of the total variance

qualities and uniformities of Gardeniae Fructus from GAP bases of Zhangshu county and Taihe county were higher than others. Conclusion: Contents of medicinal components in Gardeniae Fructus from different localities are significant different.There is correlation between contents of each component and localities.

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